Multimodal biometric systems is the consolidated multiple biometric sources, which enable the recognition performance better than the single biometric modality systems. The information fusion in a multimodal system can be performed at various levels like data level fusion, feature level fusion, match score level fusion and decision level fusion. In this paper, we have studied the performance of...

Heliquinomycin was isolated as a part of a program designed to find inhibitors of DNA helicase from microbial sources. It was purified from the culture broth of Streptomyces sp. MJ929-SF2 by solvent extraction and serial chromatographies of centrifugal partition chromatography, Sephadex LH-20 and Capcell Pak C18 (HPLC). The isolated red powder was analyzed to have the molecular formula of C33H3...

To obtain a better representation for human detection, edge, color, and texture information have been combined and employed. However, this combination results in an extremely high-dimensional feature space. The large number of feature descriptors results in expensive feature extraction and requires a dimension reduction process. Frameworks based on general purpose graphics processing unit (GPU)...

Emotion recognition plays an effective and important role in Human–Computer Interaction (HCI). Recently, various approaches to emotion recognition have been proposed in the literature, but they do not provide a powerful approach to recognize emotions from Partially Occluded Facial Images. In this paper, we propose a new method for Emotion Recognition from Facial Expression using Fuzzy Inference...

This paper examines the efficacy of liver cancer treatment using HA22T cancer cells specific to the Taiwanese population. The Clonogenic Assay is the current standard method for detecting liver cancer. This paper uses image processing technology and a fuzzy inference system to identify in-vitro colonies of cancer cells. A scanner was first used to capture an image of the culture dish. This imag...

A secure identification system based on human iris recognition has been an attractive goal for researchers for a long time. In this paper, we propose an efficient iris recognition scheme. To significantly reduce the computational time that is required for locating the iris boundaries in a captured eye image, only the 3and 9o’clock sides of the iris are considered in our scheme as a search area ...